Description
Business analytics and Data Mining techniques can help organizations make sense of -- and gain a competitive advantage from -- all the data that they have in their systems. Business analytics includes “decision management, content analytics, planning and forecasting, discovery and exploration, business intelligence, predictive analytics, data and content management, stream computing, data warehousing, information integration and governance” (IBM, 2013, p. 4).
There are different types of business intelligence analytics that an organization can take advantage of, including predictive analytics, text analytics and text mining, sentiment analysis, customer analytics and business intelligence data mining. Data Mining is the process of analyzing large data-sets to identify trends and patterns in the data. The data can be generated through different sources such as social media, websites, transactions, mobile devices, sensors, etc. The information extracted from this data helps organizations to derive their real business value and generate new business opportunities.
In the light of above information write a 3000 words research report on specific business analytics and Data Mining techniques applications that derive business value and generate new business opportunities in any of the following three (3) industry verticals
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Running head: REPORT RESEARCH
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Report Research; Impact of Business Analytic and Data Mining Techniques on Education
Industries and Customer Relationship Management
Student’s Name
Institutional Affiliation
Instructor
Date
REPORT RESEARCH
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Table of Contents
Abstract ........................................................................................................................................................ 1
1.Introduction............................................................................................................................................... 1
1.1 Education Industries Noe .................................................................................................................. 2
1.1.1 Education effectiveness ............................................................................................................... 3
1.1.2 Knowledge and Experience .......................................................................................................... 3
1.1.3 Education discoveries .................................................................................................................. 3
1.2 Customer Relationship Management ................................................................................................ 2
1.2.1 Application business pattern ....................................................................................................... 3
1.2.2 Segmentation of customer product............................................................................................. 3
1.1.2 Knowledge and Experience .......................................................................................................... 3
2. Conclusion ................................................................................................................................................ 1
References .................................................................................................................................................... 1
REPORT RESEARCH
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Abstract
In an organization, data mining techniques and business analytics play an essential role in enabling
the business to acquire a competitive advantage over the other firms in the industry. Therefore, the
primary aim of this report is to illustrate the effect of data mining techniques and business analytics
on the education industry and customer relationship management. Based on the research that was
done by Symbiosis international university in 2016, indicate that business analytics and data mining
techniques enhance effectiveness within the education industry. In 2014, Dawson, a graduate at the
University of Wollongong carried out a research that portrayed on how the adoption of business
analytics and data mining techniques can install a lot of knowledge and experiences to the learning
students. Due to the challenge of incorporating big data from vendors and sources, learning analytics
(LA) have been applied in higher education to facilitate for more discoveries in education. This
review claims that business intelligence and analytics (BI&A) and other ground for big data analytics
have turned to be a most necessary form of building customer relationship management since they
can promote decision making in the organization through conduction data analysis that produce
business trend. Due to the challenge of incorporating big data from vendors and sources, learning
analytics (LA) have been applied in higher education to facilitate more discoveries in education.
Conclusively, business analytics, and data mining techniques are very crucial in education industries
and customers’ relationship management.
REPORT RESEARCH
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1.Introduction
In an organization, data mining techniques and business analytics play an essential role in
enabling the business to acquire a competitive advantage over the oth...